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        "author": "Dohoon Lee",
        "author_email": "apap950419@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Utilities"
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        "description": "<h1 align=\"center\">python-dohlee</h1>\n<p align=\"center\">My personal python library.</p>\n<p align=\"center\">\n  <a href=\"https://readthedocs.org/projects/python-dohlee\"><img src=\"https://readthedocs.org/projects/python-dohlee/badge/?style=flat\" /></a>\n  <a href=\"https://pypi.python.org/pypi/dohlee\"><img src=\"https://img.shields.io/pypi/v/dohlee.svg\" /></a>\n  <a href=\"https://travis-ci.org/dohlee/python-dohlee\"><img src=\"https://travis-ci.org/dohlee/python-dohlee.svg?branch=develop\" /></a>\n  <a href=\"https://coveralls.io/r/dohlee/python-dohlee\"><img src=\"https://coveralls.io/repos/dohlee/python-dohlee/badge.svg?branch=develop&service=github\" /></a>\n</p>\n\n<h2 align=\"center\">Installation</h2>\n\n```\npip install dohlee\n```\n\n<h2 align=\"center\">Examples</h2>\n\n### dohlee.plot\n\nPlotting library. Provides simple ways to produce publication-ready plots.\n\n***dohlee.plot.mutation_signature***\n```python\nimport dohlee.plot as plot; plot.set_style()  # Sets plot styles.\nax = plot.get_axis(figsize=(20.4, 3.4))\nplot.mutation_signature(data, ax=ax)\n```\n\n![mutation_signature](img/mutation_signature.png)\n\n***dohlee.plot.boxplot***\n```python\nax = plot.get_axis(preset='wide', transpose=True)\nplot.boxplot(data=iris, x='species', y='sepal_length', ax=ax)\n```\n\n<p align='center'><img src='img/boxplot.png' style='width:300px'/></p>\n\n***dohlee.plot.histogram***\n```python\nax = plot.get_axis(preset='wide')\nplot.histogram(iris.sepal_length, bins=22, xlabel='Sepal Length', ylabel='Frequency', ax=ax)\n```\n\n<p align='center'><img src='img/histogram.png' /></p>\n\n***dohlee.plot.frequency***\n```python\nax = plot.get_axis(preset='wide')\nplot.frequency(data, ax=ax, xlabel='Your numbers', ylabel='Frequency')\n```\n\n<p align='center'><img src='img/frequency.png'></p>\n\n***dohlee.plot.tsne***\n```python\nax = plot.get_axis(preset='wide')\nplot.tsne(\n    iris[['sepal_length', 'sepal_width', 'petal_length', 'petal_width']],\n    ax=ax,\n    s=5,\n    labels=iris['species']\n)\n```\n<p align='center'><img src='img/tsne.png'></p>\n\n***dohlee.plot.stacked_bar_chart***\n```python\n# Generate sample data.\nn_samples = 100\nsample_dict = {'Sample': ['S%d' % i for i in range(1, n_samples + 1)]}\nvalue_dict = {c: np.random.randint(0, 100, size=n_samples) for c in ['Missense', 'Nonsense', 'Silent']}\ntest_data = pd.DataFrame({**sample_dict, **value_dict})\n# Plot stacked bar chart.\nplot.stacked_bar_chart(\n    data=test_data,          \n    x='Sample',\n    y=['Missense', 'Nonsense', 'Silent'],\n    ax=plot.get_axis(figsize=(14.4, 3.4)),\n    xticklabels=False,\n    sort=True,\n    ylabel='Number of mutations',\n    xlabel='Sample',\n    legend_size='xx-large')\n```\n<p align='center'><img src='img/stacked_bar_chart.png'></p>\n\n***dohlee.plot.linear_regression***\n```python\nax = plot.get_axis(preset='wide')\n\nx = np.linspace(0, 1, 100)\ny = 2 * x + 3 + np.random.normal(0, 0.3, len(x))\n\nplot.linear_regression(x, y, ax=ax)\n```\n<h2 align='center'><img src='img/linear_regression.png' /></h2>\n\n<h2 align='center'>Development</h2>\n\nSince this package is updated as needed when I'm doing my research, the development process fits well with TDD cycle.\n- When you feel a need to write frequently-used research workflow as a function, write rough tests so that you can be sure that the function you've implemented just meets your need. Write the name of test function as verbose as possible!\n-  Run test with following commands. By default, nosetests ignores runnable files while finding test scripts. *--exe* option revokes it.\n```shell\nnosetests --exe --with-coverage --cover-package=dohlee\n```\nOR\n```shell\ntox -e py35,py36\n```\n- When sufficient progress have been made, test if the package can be published.\n```shell\ntox\n```\n- If all tests are passed, distribute the package via PyPI.\n```shell\npython setup.py sdist\ntwine upload dist/dohlee-x.x.x.tar.gz\n```",
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